Mining physicians’ notes for medical insights
In the last 10 years, it’s become far more common for physicians to keep records electronically. Those records could contain a wealth of medically useful data: hidden correlations between symptoms, treatments and outcomes, for instance, or indications that patients are promising candidates for trials of new drugs.Much of that data, however, is buried in physicians’ freeform notes. One of the difficulties in extracting data from unstructured text is what computer scientists call word-sense disambiguation. In a physician’s notes, the word “discharge,” for instance, could refer to a bodily secretion — but it could also refer to release from a hospital. The ability to infer words’ intended meanings makes it much easier for computers to find useful patterns in mountains of data.At the American Medical Informatics Association’s (AMIA) annual symposium next week, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory will present a new system for disambiguating the senses of...